Package index • rtauargus

Protect tables from tabular

Functions for protecting magnitude and frequency tables from one tabular data or from a set of linked tables.

tab_multi_manager(): Manages the secondary secret of a list of tables

write_hrc2(): Creates a hrc file from correspondence table

tab_rtauargus(): Protect one table by suppressing cells with Tau-Argus

tab_rtauargus2(): Wrapper of tab_rtauargus adapted for tab_multi_manager function.

tab_rtauargus4() experimental: Call Tau-Argus to protect a 4 or 5 dimensions table by splitting it in several 3 dimensions table.

tabulate_micro_data(): tabulate grouped data with all margins, handling hierarchical variables

Proceed to an automatic analysis

Functions to help the links analysis between tables from a metadata file.

analyse_metadata(): Analyse Metadata of Tables Needing Secondary Tabular Data Protection

contains_non_total(): Check for Non-Total Values in a Data Frame

create_edges(): Create a Data Frame of Table Inclusion Relationships

dataframe_result(): Combine List of Dataframes into a Single Dataframe with Cluster Identification

enterprise_template: Extract of SBS Eurostat template.

filter_on_marginal_of_spanning_var(): Filter a Data Frame Based on Marginal Criteria

format_template(): Determines the tables described in a template gathering all the published cells

get_combinations(): Generate All Combinations of spanning variables

grp_tab_in_cluster(): Regroup Tables Inside Clusters Based on Inclusion Relationships

grp_tab_names(): Group Tables Based on Inclusion Relationships

identify_hrc(): Rename Variables Based on Their Hierarchies

metadata_pizza_lettuce: Metadata for pizza and lettuce dataset.

split_dataframe(): Split a Data Frame Based on a Chosen Variable

split_in_clusters(): Split a Data Frame into Clusters of Linked Tables

tab_to_treat(): Unnest Data Frames to Create a Usable Flat Format

wide_to_long(): Convert Metadata from Wide to Long Format

Data

Data to run examples

activity_corr_table: data - Correspondence table describing the business sectors hierarchy.

nuts23_fr_corr_table: data - Correspondence table describing the NUTS hierarchy.

turnover_act_cj: data - Turnover broken down by business sector and type of companies (fake values).

turnover_act_size: data - Turnover broken down by business sector and size of French companies (fake values).

turnover_nuts_cj: data - Turnover broken down by NUTS and size of French companies (fake values).

turnover_nuts_size: data - Turnover broken down by NUTS and size of French companies (fake values).

turnover_act_nuts_size: data - Turnover broken down by business sector, NUTS, and size of French companies (fake values).

datatest1: data crossing 4 categorical variables, none are hierarchical.

datatest2: data crossing 5 categorical variables, none are hierarchical.

indiv_dt: Companies data at individual level.

metadata_pizza_lettuce: Metadata for pizza and lettuce dataset.

enterprise_template: Extract of SBS Eurostat template.

Protect tables from microdata

Functions for protecting magnitude and frequency tables, i.e. from a microdataset. Original way to proceed but no longer the favored one.

micro_rtauargus() superseded: Protects tables from microdata

rtauargus_plus(): Mass protection

Step by step functions

Mostly internal functions

tab_rda(): Creates rda files from tabular data

tab_arb(): Creates a batch file (.arb) for tabular data in order to run Tau Argus

micro_asc_rda() superseded: Creates asc and rda files from microdata

micro_arb() superseded: Creates a batch file (.arb) for microdata

run_arb(): Runs a Tau-Argus batch

import(): Imports results from Tau-Argus

Others

rtauargus_options() reset_rtauargus_options(): Manages options of rtauargus package

write_hrc(): Creates a hrc file from microdata

rtauargus rtauargus-package: rtauargus: Using Tau-Argus from R